Vehicle Dynamics Modelling Engineer (m/w/d)

TOYOTA RACING; Köln; On-site; EUR 70,000 - 110,000; Full time

Benefits offered by this job

30 days annual holiday

Car leasing

On-site gym

Job summary

TOYOTA RACING is seeking a highly skilled Modelling Engineer (m/w/d) to join our Vehicle Simulation team. You will develop and extend in-house full vehicle dynamics simulation models for real-time usage and lap time calculations, collaborating with a multidisciplinary team to push digital twin and driving simulation technologies.

The ideal candidate holds a master's in automotive engineering, at least 5 years in modelling performance vehicle dynamics, and strong coding skills in C++,

Qualifications

• Master's degree in automotive or related engineering.
• 5+ years of professional experience in developing vehicle dynamics modelling.
• Strong proficiency in mathematical/physical modelling of vehicle dynamics systems.
• Proficient in C++, MATLAB/Simulink, Python.
• Experience with quasistatic and dynamic lap-time calculation methods.
• Familiar with Linux and multi-OS environments.

Responsibilities

• Develop and extend in-house full vehicle dynamics simulation models for dynamic simulation and lap time calculation.
• Create physical, mathematical or data-driven models for high fidelity under constraints.
• Optimize models for lap-time solver and real-time driver-in-the-loop environment.
• Analyse data to compare model behaviour, identify gaps and implement improvements.
• Stay updated with advancements in vehicle dynamics simulation and contribute to research projects.

Skills

C++

MATLAB/Simulink

Python

Vehicle dynamics

Real-time simulation

Data analysis

Education

Master's in automotive or motorsport engineering

Tools

Git

CI tools

Linux

Job description

We are seeking a highly skilled and motivated Modelling Engineer (m/w/d) to join our Vehicle Simulation team. You will be responsible for developing and extending our vehicle dynamics simulation models for full vehicle performance assessment in real-time usage and lap time calculation. You will play a crucial role in collaborating with a multidisciplinary team of engineers and software developers. We aim to innovate and accelerate the wider deployment of state‑of‑the‑art Digital Twin and driving simulation technologies, applied to Toyota racing vehicle development programmes.

What we offer

• Exciting projects and a place for technical freedom and innovation to get things moving
• Attractive benefits packages e.g. competitive remuneration, social benefits, 30 days annual holiday, car leasing, free on-site gym
• A challenging, fulfilling workplace in a multi‑national company within a familiar atmosphere – driven by fascination and passion

Your Tasks

• Develop and extend the in-house full vehicle dynamics simulation models for dynamic simulation and lap time calculation
• Create physical, mathematical or data driven models for highest possible fidelity under given constraints
• Optimize the models for our in-house lap‑time calculation solver and/or our real‑time driver in the loop environment
• Analyse data to compare and correlate model behaviour, identifying gaps and implementing improvements
• Stay updated with the latest advancements in vehicle dynamics simulation technology and contribute to research projects

The successful candidate will have

• A minimum of a master’s degree in automotive or motorsport engineering, or an engineering discipline with modules covering several of the following topics: Mathematical/Physical Modelling, Vehicle Dynamics, Simulation, Optimisation, Control Theory or Robotics/Mechatronics.
• At least 5 years of professional experience in developing performance vehicle dynamics simulation models
• Strong proficiency in mathematical and physical modelling of vehicle dynamics systems
• Proficient knowledge in at least one programming language – e.g. C++, C, MATLAB/Simulink, Python
• Previous experience in quasistatic and dynamic lap‑time calculation methods
• Previous experience in optimisation methodsPrevious experience with numerical integration methods to solve dynamical models
• A clean code mindset and strong troubleshooting and problem‑solving skills
• Previous experience working across multiple operating systems (e.g. Linux)
• Self‑motivation, ability to work under pressure, manage multiple tasks effectively, and eagerness to learn.
• A proactive mindset to approach new challenges, proposing innovative solutions and driving development
• The appreciation and understanding of source control and continuous integration tools in a development pipeline